Alberto Maria Metelli

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 93

Top Topics

Markov Decision Process

Reinforcement Learning

Importance Sampling

Top Venues

Publications

Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. COLT (2024)
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
A Provably Efficient Option-Based Algorithm for both High-Level and Low-Level Learning. CoRR (2024)
Matteo Papini, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
Policy Gradient with Active Importance Sampling. CoRR (2024)
Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
How to Scale Inverse RL to Large State Spaces? A Provably Efficient Approach. CoRR (2024)
Riccardo Poiani, Ciprian Stirbu, Alberto Maria Metelli, Marcello Restelli
Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs. IEEE Trans. Intell. Transp. Syst. 25 (5) (2024)
Gabor Paczolay, Matteo Papini, Alberto Maria Metelli, István Á. Harmati, Marcello Restelli
Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds. Mach. Learn. 113 (9) (2024)
Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
Parameterized Projected Bellman Operator. AAAI (2024)
Gianmarco Genalti, Lupo Marsigli, Nicola Gatti, Alberto Maria Metelli
(ε, u)-Adaptive Regret Minimization in Heavy-Tailed Bandits. COLT (2024)
Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli, Matteo Papini
Learning Optimal Deterministic Policies with Stochastic Policy Gradients. CoRR (2024)
Paolo Battellani, Alberto Maria Metelli, Francesco Trovò
Dissimilarity Bandits. AISTATS (2024)
Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
No-Regret Reinforcement Learning in Smooth MDPs. CoRR (2024)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Interpetable Target-Feature Aggregation for Multi-Task Learning based on Bias-Variance Analysis. CoRR (2024)
Alberto Maria Metelli
Performance Improvement Bounds for Lipschitz Configurable Markov Decision Processes. CoRR (2024)
Marco Mussi, Simone Drago, Alberto Maria Metelli
Open Problem: Tight Bounds for Kernelized Multi-Armed Bandits with Bernoulli Rewards. CoRR (2024)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Interpretable linear dimensionality reduction based on bias-variance analysis. Data Min. Knowl. Discov. 38 (4) (2024)
Davide Maran, Alberto Maria Metelli, Matteo Papini, Marcello Restelli
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs. CoRR (2024)
Alberto Maria Metelli
Recent Advancements in Inverse Reinforcement Learning. AAAI (2024)
Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli
Inverse Reinforcement Learning with Sub-optimal Experts. CoRR (2024)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information Capacity Regret Bounds for Bandits with Mediator Feedback. CoRR (2024)
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
Autoregressive Bandits. AISTATS (2024)
Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms. CoRR (2024)
Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli
Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning. CoRR (2024)
Riccardo Poiani, Rémy Degenne, Emilie Kaufmann, Alberto Maria Metelli, Marcello Restelli
Optimal Multi-Fidelity Best-Arm Identification. CoRR (2024)
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-Markov Decision Processes. CoRR (2023)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Causal Feature Selection via Transfer Entropy. CoRR (2023)
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
A Tale of Sampling and Estimation in Discounted Reinforcement Learning. CoRR (2023)
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
ARLO: A framework for Automated Reinforcement Learning. Expert Syst. Appl. 224 (2023)
Gianluca Drappo, Alberto Maria Metelli, Marcello Restelli
An Option-Dependent Analysis of Regret Minimization Algorithms in Finite-Horizon Semi-MDP. Trans. Mach. Learn. Res. 2023 (2023)
Gianmarco Genalti, Lupo Marsigli, Nicola Gatti, Alberto Maria Metelli
Towards Fully Adaptive Regret Minimization in Heavy-Tailed Bandits. CoRR (2023)
Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
Simultaneously Updating All Persistence Values in Reinforcement Learning. AAAI (2023)
Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. CoRR (2023)
Marco Mussi, Alberto Maria Metelli, Marcello Restelli
Dynamical Linear Bandits. ICML (2023)
Théo Vincent, Alberto Maria Metelli, Boris Belousov, Jan Peters, Marcello Restelli, Carlo D'Eramo
Parameterized Projected Bellman Operator. CoRR (2023)
Filippo Fedeli, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
IWDA: Importance Weighting for Drift Adaptation in Streaming Supervised Learning Problems. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
Towards Theoretical Understanding of Inverse Reinforcement Learning. CoRR (2023)
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
A Tale of Sampling and Estimation in Discounted Reinforcement Learning. AISTATS (2023)
Riccardo Poiani, Nicole Nobili, Alberto Maria Metelli, Marcello Restelli
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach. NeurIPS (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Truncating Trajectories in Monte Carlo Reinforcement Learning. ICML (2023)
Amarildo Likmeta, Matteo Sacco, Alberto Maria Metelli, Marcello Restelli
Wasserstein Actor-Critic: Directed Exploration via Optimism for Continuous-Actions Control. AAAI (2023)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Interpretable Linear Dimensionality Reduction based on Bias-Variance Analysis. CoRR (2023)
Davide Maran, Alberto Maria Metelli, Marcello Restelli
Tight Performance Guarantees of Imitator Policies with Continuous Actions. AAAI (2023)
Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli
Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning. NeurIPS (2023)
Marco Mussi, Alessandro Montenegro, Francesco Trovò, Marcello Restelli, Alberto Maria Metelli
Best Arm Identification for Stochastic Rising Bandits. CoRR (2023)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. ITW (2023)
Khaled Eldowa, Nicolò Cesa-Bianchi, Alberto Maria Metelli, Marcello Restelli
Information-Theoretic Regret Bounds for Bandits with Fixed Expert Advice. CoRR (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Truncating Trajectories in Monte Carlo Reinforcement Learning. CoRR (2023)
Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli
Towards Theoretical Understanding of Inverse Reinforcement Learning. ICML (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Pure Exploration under Mediators' Feedback. CoRR (2023)
Paolo Bonetti, Alberto Maria Metelli, Marcello Restelli
Nonlinear Feature Aggregation: Two Algorithms driven by Theory. CoRR (2023)
Alberto Maria Metelli, Samuele Meta, Marcello Restelli
On the Relation between Policy Improvement and Off-Policy Minimum-Variance Policy Evaluation. UAI (2023)
Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli
Multi-Fidelity Best-Arm Identification. NeurIPS (2022)
Marco Mussi, Davide Lombarda, Alberto Maria Metelli, Francesco Trovò, Marcello Restelli
ARLO: A Framework for Automated Reinforcement Learning. CoRR (2022)
Angelo Damiani, Giorgio Manganini, Alberto Maria Metelli, Marcello Restelli
Balancing Sample Efficiency and Suboptimality in Inverse Reinforcement Learning. ICML (2022)
Luca Sabbioni, Luca Al Daire, Lorenzo Bisi, Alberto Maria Metelli, Marcello Restelli
Simultaneously Updating All Persistence Values in Reinforcement Learning. CoRR (2022)
Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. AAAI (2022)
Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. IJCNN (2022)
Davide Maran, Alberto Maria Metelli, Marcello Restelli
Tight Performance Guarantees of Imitator Policies with Continuous Actions. CoRR (2022)
Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli
Policy space identification in configurable environments. Mach. Learn. 111 (6) (2022)
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
Stochastic Rising Bandits. ICML (2022)
Alberto Maria Metelli, Francesco Trovò, Matteo Pirola, Marcello Restelli
Stochastic Rising Bandits. CoRR (2022)
Marco Mussi, Alberto Maria Metelli, Marcello Restelli
Dynamical Linear Bandits. CoRR (2022)
Francesco Bacchiocchi, Gianmarco Genalti, Davide Maran, Marco Mussi, Marcello Restelli, Nicola Gatti, Alberto Maria Metelli
Autoregressive Bandits. CoRR (2022)
Alberto Maria Metelli
A unified view of configurable Markov Decision Processes: Solution concepts, value functions, and operators. Intelligenza Artificiale 16 (2) (2022)
Julen Cestero, Marco Quartulli, Alberto Maria Metelli, Marcello Restelli
Storehouse: a Reinforcement Learning Environment for Optimizing Warehouse Management. CoRR (2022)
Riccardo Poiani, Ciprian Stirbu, Alberto Maria Metelli, Marcello Restelli
Optimizing Empty Container Repositioning and Fleet Deployment via Configurable Semi-POMDPs. CoRR (2022)
Manuel Occorso, Luca Sabbioni, Alberto Maria Metelli, Marcello Restelli
Trust Region Meta Learning for Policy Optimization. Meta-Knowledge Transfer @ ECML/PKDD (2022)
Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
Policy Optimization as Online Learning with Mediator Feedback. AAAI (2021)
Amarildo Likmeta, Alberto Maria Metelli, Giorgia Ramponi, Andrea Tirinzoni, Matteo Giuliani, Marcello Restelli
Dealing with multiple experts and non-stationarity in inverse reinforcement learning: an application to real-life problems. Mach. Learn. 110 (9) (2021)
Pierre Liotet, Francesco Vidaich, Alberto Maria Metelli, Marcello Restelli
Lifelong Hyper-Policy Optimization with Multiple Importance Sampling Regularization. CoRR (2021)
Alberto Maria Metelli, Alessio Russo, Marcello Restelli
Subgaussian and Differentiable Importance Sampling for Off-Policy Evaluation and Learning. NeurIPS (2021)
Alberto Maria Metelli, Matteo Pirotta, Daniele Calandriello, Marcello Restelli
Safe Policy Iteration: A Monotonically Improving Approximate Policy Iteration Approach. J. Mach. Learn. Res. 22 (2021)
Giorgia Ramponi, Alberto Maria Metelli, Alessandro Concetti, Marcello Restelli
Learning in Non-Cooperative Configurable Markov Decision Processes. NeurIPS (2021)
Alberto Maria Metelli, Giorgia Ramponi, Alessandro Concetti, Marcello Restelli
Provably Efficient Learning of Transferable Rewards. ICML (2021)
Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli
On the use of the policy gradient and Hessian in inverse reinforcement learning. Intelligenza Artificiale 14 (1) (2020)
Giorgia Ramponi, Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Marcello Restelli
Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions. AISTATS (2020)
Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning. CoRR (2020)
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
Gradient-Aware Model-Based Policy Search. AAAI (2020)
Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli
Policy Optimization as Online Learning with Mediator Feedback. CoRR (2020)
Alberto Maria Metelli, Flavio Mazzolini, Lorenzo Bisi, Luca Sabbioni, Marcello Restelli
Control Frequency Adaptation via Action Persistence in Batch Reinforcement Learning. ICML (2020)
Amarildo Likmeta, Alberto Maria Metelli, Andrea Tirinzoni, Riccardo Giol, Marcello Restelli, Danilo Romano
Combining reinforcement learning with rule-based controllers for transparent and general decision-making in autonomous driving. Robotics Auton. Syst. 131 (2020)
Alberto Maria Metelli, Matteo Papini, Nico Montali, Marcello Restelli
Importance Sampling Techniques for Policy Optimization. J. Mach. Learn. Res. 21 (2020)
Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli
Feature Selection via Mutual Information: New Theoretical Insights. CoRR (2019)
Mario Beraha, Alberto Maria Metelli, Matteo Papini, Andrea Tirinzoni, Marcello Restelli
Feature Selection via Mutual Information: New Theoretical Insights. IJCNN (2019)
Alberto Maria Metelli, Amarildo Likmeta, Marcello Restelli
Propagating Uncertainty in Reinforcement Learning via Wasserstein Barycenters. NeurIPS (2019)
Matteo Papini, Alberto Maria Metelli, Lorenzo Lupo, Marcello Restelli
Optimistic Policy Optimization via Multiple Importance Sampling. ICML (2019)
Pierluca D'Oro, Alberto Maria Metelli, Andrea Tirinzoni, Matteo Papini, Marcello Restelli
Gradient-Aware Model-based Policy Search. CoRR (2019)
Alberto Maria Metelli, Emanuele Ghelfi, Marcello Restelli
Reinforcement Learning in Configurable Continuous Environments. ICML (2019)
Alberto Maria Metelli, Guglielmo Manneschi, Marcello Restelli
Policy Space Identification in Configurable Environments. CoRR (2019)
Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli
Policy Optimization via Importance Sampling. NeurIPS (2018)
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
Configurable Markov Decision Processes. CoRR (2018)
Alberto Maria Metelli, Matteo Papini, Francesco Faccio, Marcello Restelli
Policy Optimization via Importance Sampling. CoRR (2018)
Alberto Maria Metelli, Mirco Mutti, Marcello Restelli
Configurable Markov Decision Processes. ICML (2018)
Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli
Compatible Reward Inverse Reinforcement Learning. NIPS (2017)